What is completeness-auditor?

An evidence audit tool that checks whether the required, up-to-date artifacts exist for the project’s current rigor level.

Use it to check manifests, method cards, decisions, risk checks, run summaries, and—when preparing a submission—reviews, explanations, analyses, robustness reports, paper sections, and quality audits.

It finds missing or outdated evidence without requiring every tool to create a separate report or follow an arbitrary checklist.

How zhnnky329/MathModeling-skills configures Claude Code

About the project

MathModeling-skills is a collection of Claude Code and Codex skills for mathematical modeling competitions, guiding users through data analysis, method-specific checks, reproducible computations, figures, and paper audits without taking over modeling decisions. It is for contestants who want AI to handle mechanical checks while they retain responsibility for choosing methods and interpreting results. The catalogue entries form the project's skills, instructions, hook, setting, and plugin workflow.

zhnnky329/MathModeling-skills · 1,080 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to zhnnky329/MathModeling-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/zhnnky329/MathModeling-skills/main/.claude/skills/completeness-auditor/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/zhnnky329/MathModeling-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/completeness-auditor/github.svg)](https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/completeness-auditor)

Your own site

<a href="https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/completeness-auditor"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/completeness-auditor/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zhnnky329/mathmodeling-skills/completeness-auditor"><img src="https://agentmods.dev/badge/skills/zhnnky329/mathmodeling-skills/completeness-auditor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 442 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00040	$0.00442
Opus 5.5	$0.00016	$0.00177
Sonnet 5.5	$0.00008	$0.00088
Haiku 4.5	$0.00004	$0.00044

Measured 2mo ago against content hash 033750f932d2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

completeness-auditor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/completeness-auditor/SKILL.md · 67 lines

What it actually says

Purpose

Check deliverable evidence, not whether every invoked skill left a ceremonial report.

Lean Checks

Per active Qx, require as applicable:

manifest;
method card;
human decision ledger;
risk-probe summary;
latest run summary.

Lean completeness does not require final reports, freeze, paper, or G6 artifacts.

Submission Checks

Per Qx require:

final method explanation;
current language review JSON with all required named checks passing;
final result analysis;
robustness report;
solution package;
current frozen numbers;
paper section and referenced figures.

Globally require symbol table, assumptions, references, consistency audit, completeness audit, and QA report.

Workflow

Read rigor_profile.
Resolve active Qx from manifests or artifacts.
Check required artifacts and semantic fields.
Check staleness only against materially cited evidence.
Accept documented legacy equivalents during migration.
Save paper/audits/completeness_audit.md only in submission/final mode.

Status

PRESENT: required evidence exists and is current.
MISSING: required evidence absent.
INSUFFICIENT: artifact exists but required semantic fields/checks are missing.
STALE: cited material evidence changed after approval/review.
NOT_APPLICABLE: justified by task/profile.

Rules

Do not require ≥5 prose pass items.
Do not require a report just because a skill ran.
Do not mark a decision stale for unrelated code, formatting, or file changes.
Do not treat legacy artifact count as proof of semantic completeness.
Do not repair artifacts during audit.

Verification

Requirements match the active profile.
Every gap names the missing evidence and producer/owner.
Staleness links to a material changed source.
Final verdict is PASSED only when all submission requirements are satisfied.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 67 lines · 40 tokens per session scan A 033750f932d2

Subscribe to this mod's changes

completeness-auditor is a skill published in the GitHub repository zhnnky329/MathModeling-skills (1,080 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 442 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Planning

completeness-auditor next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
completeness-auditorzhnnky329/MathModeling-skills	Skill	1.1k	1mo ago	MIT	A	40	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

MathModeling-skills: Skill for Claude Code